Bibliography

CameronCameron1997: Cameron, N. D. (1997).
Selection Indices and Prediction of Genetic Merit in Animal Breeding.
CAB International.
Cole, VanRaden, and DematawewaCole et al.2007: Cole, J. B., P. VanRaden, and C. M. B. Dematawewa (2007).
Estimation of yields for long lactations using best prediction.
Journal of Dairy Science 90(Suppl. 1), 421.
Cole and VanRadenCole and VanRaden2006: Cole, J. B. and P. M. VanRaden (2006).
Genetic evaluation and best prediction of lactation persistency.
Journal of Dairy Science 89, 2722-2728.
Dematawewa, Pearson, and VanRadenDematawewa et al.2007: Dematawewa, C. M. B., R. E. Pearson, and P. M. VanRaden (2007).
Modeling extended lactations of holsteins.
Journal of Dairy Science 90, 3924-3936.
Dijkstra, France, Dhanoa, Maas, Hanigan, Rook, and BeeverDijkstra et al.1997: Dijkstra, J., J. France, M. S. Dhanoa, J. A. Maas, M. D. Hanigan, A. J. Rook, and D. E. Beever (1997).
A model to describe growth patterns of the mammary gland during pregnancy and lactation.
Journal of Dairy Science 80, 2340-2354.
Druet, JaffrÃ©zic, and DucrocqDruet et al.2005: Druet, T., F. JaffrÃ©zic, and V. Ducrocq (2005).
Estimation of genetic parameters for test day records of dairy traits for the first three lactations.
Genetics, Selection, Evolution 37, 257-271.
International Committee for Animal RecordingInternational Committee for Animal Recording2006: International Committee for Animal Recording (2006, June 9).
International Agreement of Recording Practices.
Rome, Italy: International Committee for Animal Recording.
Morant and GnanasakthyMorant and Gnanasakthy1989: Morant, S. V. and A. Gnanasakthy (1989).
A new approach to the mathematical formulation of lactation curves.
Animal Production 49, 151-162.
NelderNelder1966: Nelder, J. A. (1966).
Inverse polynomials, a useful group of multifactor response functions.
Biometrics 22, 128-141.
Norman, VanRaden, Wright, and ClayNorman et al.1999: Norman, H. D., P. M. VanRaden, J. R. Wright, and J. S. Clay (1999).
Comparison of test interval and best prediction methods for estimation of lactation yield from monthly, a.m.-p.m., and tri-monthly testing.
Journal of Dairy Science 82, 438-444.
Norman, VanRaden, Wright, and SmithNorman et al.1999: Norman, H. D., P. M. VanRaden, J. R. Wright, and L. A. Smith (1999).
Mathematical representations of correlations among yield traits and somatic cell score on test day.
Journal of Dairy Science 82, 2205-2211.
Quist, LeBlanc, Hand, Lazenby, Miglior, and KeltonQuist et al.2007: Quist, M. A., S. J. LeBlanc, K. J. Hand, D. Lazenby, F. Miglior, and D. F. Kelton (2007).
Agreement of predicted 305-day milk yields relative to actual 305-day milk weight yields.
Journal of Dairy Science 90, 4684-4692.
Rodriguez-Zas, Gianola, and ShookRodriguez-Zas et al.2000: Rodriguez-Zas, S. L., D. Gianola, and G. E. Shook (2000).
An approximate bayesian analysis of somatic cell score curves in holsteins.
Acta Agriculturae Scandinavia A 50, 291-299.
Rook, France, and DhanoaRook et al.1993: Rook, A. J., J. France, and M. S. Dhanoa (1993).
On the mathematical description of lactation curves.
Journal of Agricultural Science 121, 97-102.
Sargent, Lytton, and WallSargent et al.1968: Sargent, F. D., V. H. Lytton, and O. G. Wall, Jr. (1968).
Test interval method of calculating dairy herd improvement association records.
Journal of Dairy Science 51, 170-179.
Schaeffer and JamrozikSchaeffer and Jamrozik1996: Schaeffer, L. R. and J. Jamrozik (1996).
Multiple-trait prediction of lactation yields for dairy cows.
Journal of Dairy Science 79, 2044-2055.
Shook, Jensen, and DickinsonShook et al.1980: Shook, G. E., E. L. Jensen, and F. N. Dickinson (1980).
Factors for estimating sample-day yield in am-pm plans.
DHI Letters 56(4), 25-30.
Shook, Johnson, and DickinsonShook et al.1980: Shook, G. E., L. P. Johnson, and F. N. Dickinson (1980).
Factors for improving accuracy of estimates of test-interval yield.
DHI Letters 56(4), 9-24.
VanRadenVanRaden1997: VanRaden, P. M. (1997).
Lactation yields and accuracies computed from test day yields and (co)variances by best prediction.
Journal of Dairy Science 80, 3015-3022.
VanRadenVanRaden1998: VanRaden, P. M. (1998).
Best prediction of lactation yield and persistency.
Proc. 6th World Congr. Genet. Appl. Livest. Prod., Armidale, Australia XXIII, 347-350.
VanRaden, Wiggans, and ErnstVanRaden et al.1991: VanRaden, P. M., G. R. Wiggans, and C. A. Ernst (1991).
Expansion of projected lactation yield to stabilize genetic variance.
Journal of Dairy Science 74, 4344-4349.
Wiggans, Misztal, and Van VleckWiggans et al.1988: Wiggans, G. R., I. Misztal, and D. Van Vleck (1988).
Implementation of an animal model for genetic evaluation of dairy cattle in the united states.
Journal of Dairy Science 71(Suppl. 2), 54-69.
WilminkWilmink1987: Wilmink, J. B. M. (1987).
Adjustment of test-day milk, fat and protein yield for age, season and stage of lactation.
Livestock Production Science 16, 335-348.
WoodWood1967: Wood, P. D. P. (1967).
Algebraic model of the lactation curve in cattle.
Nature 216, 164-165.

This page intentionally left blank.

See About this document... for information on suggesting changes.